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Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings., , and . CoRR, (2017)On the positivity and magnitudes of Bayesian quadrature weights., , and . CoRR, (2018)Convergence guarantees for kernel-based quadrature rules in misspecified settings., , and . NIPS, page 3288-3296. (2016)Model Selection for Simulator-based Statistical Models: A Kernel Approach., , , , and . CoRR, (2019)Model-based kernel sum rule: kernel Bayesian inference with probabilistic models., , , and . Mach. Learn., 109 (5): 939-972 (2020)Improved Random Features for Dot Product Kernels., , and . CoRR, (2022)When is Importance Weighting Correction Needed for Covariate Shift Adaptation?, , , , and . CoRR, (2023)Monte Carlo Filtering Using Kernel Embedding of Distributions., , , and . AAAI, page 1897-1903. AAAI Press, (2014)Recovering Distributions from Gaussian RKHS Embeddings., and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 457-465. JMLR.org, (2014)Simulator Calibration under Covariate Shift with Kernels., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1244-1253. PMLR, (2020)